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Xuemei Gu, Mario Krenn

Sahand Vahidnia, Alireza Abbasi, Hussein Abbass

Hamed Rahimi, Hubert Naacke, Camelia Constantin, Bernd Amann

Simone Angioni, Sergio Consoli, Danilo Dessì, Francesco Osborne, Diego Reforgiato Recupero, Angelo Salatino

Luca Russo, Carola Murano, Domenico D’Alelio

Tongyang Zhang, Fang Tan, Chao Yu, Jiexun Wu, Jian Xu

Mario Krenn, Lorenzo Buffoni, Bruno Coutinho, Sagi Eppel, Jacob Gates Foster, Andrew Gritsevskiy, Harlin Lee, Yichao Lu, João P. Moutinho, Nima Sanjabi, Rishi Sonthalia, Ngoc Mai Tran, Francisco Valente, Yangxinyu Xie, Rose Yu, Michael Kopp

Ai Linh Nguyen, Wenyuan Liu, Khiam Aik Khor, Andrea Nanetti, Siew Ann Cheong

Sukhwan Jung, Aviv Segev

Simone Angioni, Angelo Salatino, Francesco Osborne, Diego Reforgiato Recupero, Enrico Motta

Sahand Vahidnia, Alireza Abbasi, Hussein Abbass

Sukhwan Jung, Aviv Segev

Amna Dridi, Mohamed Medhat Gaber, Raja Muhammad Atif Azad, Jagdev Bhogal

Sukhwan Jung, Aviv Segev

Fatih Gurcan, Gonca Gokce Menekse Dalveren, Nergiz Ercil Cagiltay, Dumitru Roman, Ahmet Soylu

Jorge A.V. Tohalino, Diego R. Amancio

Amna Dridi, Mohamed Medhat Gaber, R. Muhammad Atif Azad, Jagdev Bhogal

Hesan Ziar, Patrizio Manganiello, Olindo Isabella, Miro Zeman

Simone Angioni, Angelo A. Salatino, Francesco Osborne, Diego Reforgiato Recupero, Enrico Motta

Angelo Salatino, Francesco Osborne, Enrico Motta

Ana Gjorgjevikj, Kostadin Mishev, Dimitar Trajanov

Dmitry Frolov, Susana Nascimento, Trevor Fenner, Boris Mirkin

Francesco Osborne, Henry Muccini, Patricia Lago, Enrico Motta

Markus Zanker, Laurens Rook, Dietmar Jannach

Amna Dridi, Mohamed Medhat Gaber, R. Muhammad Atif Azad, Jagdev Bhogal

F.L. Matos, S.W. Ross, V.A.I. Huvenne, J.S. Davies, M.R. Cunha

Vayianos Pertsas, Panos Constantopoulos, Ion Androutsopoulos

2025	Forecasting high-impact research topics via machine learning on evolving knowledge graphs Machine Learning: Science and Technology Xuemei Gu, Mario Krenn
2024	A temporal ontology guided clustering methodology with a case study on detection and tracking of artificial intelligence topics Expert Systems with Applications Sahand Vahidnia, Alireza Abbasi, Hussein Abbass
2024	Studies in Computational Intelligence Hamed Rahimi, Hubert Naacke, Camelia Constantin, Bernd Amann
2024	Exploring Environmental, Social, and Governance (ESG) Discourse in News: An AI-Powered Investigation Through Knowledge Graph Analysis IEEE Access Simone Angioni, Sergio Consoli, Danilo Dessì, Francesco Osborne, Diego Reforgiato Recupero, Angelo Salatino
2024	Mapping Topic Evolution across the 40-Year-Old Long-Term Ecological Research MareChiara Site in the Gulf of Naples, Italy Oceans Luca Russo, Carola Murano, Domenico D’Alelio
2023	Understanding relationship between topic selection and academic performance of scientific teams based on entity popularity trend Aslib Journal of Information Management Tongyang Zhang, Fang Tan, Chao Yu, Jiexun Wu, Jian Xu
2023	Forecasting the future of artificial intelligence with machine learning-based link prediction in an exponentially growing knowledge network Nature Machine Intelligence Mario Krenn, Lorenzo Buffoni, Bruno Coutinho, Sagi Eppel, Jacob Gates Foster, Andrew Gritsevskiy, Harlin Lee, Yichao Lu, João P. Moutinho, Nima Sanjabi, Rishi Sonthalia, Ngoc Mai Tran, Francisco Valente, Yangxinyu Xie, Rose Yu, Michael Kopp
2022	The emergence of graphene research topics through interactions within and beyond Quantitative Science Studies Ai Linh Nguyen, Wenyuan Liu, Khiam Aik Khor, Andrea Nanetti, Siew Ann Cheong
2022	2022 IEEE International Conference on Big Data (Big Data) Sukhwan Jung, Aviv Segev
2022	The AIDA Dashboard: A Web Application for Assessing and Comparing Scientific Conferences IEEE Access Simone Angioni, Angelo Salatino, Francesco Osborne, Diego Reforgiato Recupero, Enrico Motta
2022	A Temporal Ontology Guided Clustering Methodology with a Case Study on Detection and Tracking of Artificial Intelligence Topics SSRN Electronic Journal Sahand Vahidnia, Alireza Abbasi, Hussein Abbass
2022	2022 IEEE International Conference on Big Data (Big Data) Sukhwan Jung, Aviv Segev
2022	Vec2Dynamics: A Temporal Word Embedding Approach to Exploring the Dynamics of Scientific Keywords—Machine Learning as a Case Study Big Data and Cognitive Computing Amna Dridi, Mohamed Medhat Gaber, Raja Muhammad Atif Azad, Jagdev Bhogal
2022	DAC: Descendant-aware clustering algorithm for network-based topic emergence prediction Journal of Informetrics Sukhwan Jung, Aviv Segev
2022	Analyzing the generalizability of the network-based topic emergence identification method Semantic Web Sukhwan Jung, Aviv Segev
2022	Evolution of Software Testing Strategies and Trends: Semantic Content Analysis of Software Research Corpus of the Last 40 Years IEEE Access Fatih Gurcan, Gonca Gokce Menekse Dalveren, Nergiz Ercil Cagiltay, Dumitru Roman, Ahmet Soylu
2022	On predicting research grants productivity via machine learning Journal of Informetrics Jorge A.V. Tohalino, Diego R. Amancio
2021	Scholarly data mining: A systematic review of its applications WIREs Data Mining and Knowledge Discovery Amna Dridi, Mohamed Medhat Gaber, R. Muhammad Atif Azad, Jagdev Bhogal
2021	Photovoltatronics: intelligent PV-based devices for energy and information applications Energy & Environmental Science Hesan Ziar, Patrizio Manganiello, Olindo Isabella, Miro Zeman
2020	Communications in Computer and Information Science Simone Angioni, Angelo A. Salatino, Francesco Osborne, Diego Reforgiato Recupero, Enrico Motta
2020	Lecture Notes in Computer Science Angelo Salatino, Francesco Osborne, Enrico Motta
2020	ADD: Academic Disciplines Detector Based on Wikipedia IEEE Access Ana Gjorgjevikj, Kostadin Mishev, Dimitar Trajanov
2020	Parsimonious generalization of fuzzy thematic sets in taxonomies applied to the analysis of tendencies of research in data science Information Sciences Dmitry Frolov, Susana Nascimento, Trevor Fenner, Boris Mirkin
2019	Reducing the effort for systematic reviews in software engineering Data Science Francesco Osborne, Henry Muccini, Patricia Lago, Enrico Motta
2019	Measuring the impact of online personalisation: Past, present and future International Journal of Human-Computer Studies Markus Zanker, Laurens Rook, Dietmar Jannach
2019	2019 International Joint Conference on Neural Networks (IJCNN) Amna Dridi, Mohamed Medhat Gaber, R. Muhammad Atif Azad, Jagdev Bhogal
2018	Canyons pride and prejudice: Exploring the submarine canyon research landscape, a history of geographic and thematic bias Progress in Oceanography F.L. Matos, S.W. Ross, V.A.I. Huvenne, J.S. Davies, M.R. Cunha
2018	Lecture Notes in Computer Science Vayianos Pertsas, Panos Constantopoulos, Ion Androutsopoulos
2018	Transformations in Breakthrough Research: The Emergence of Mirnas as a Research Routine in Molecular Biology Open Information Science Paweł Kawalec
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