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PeerJ Factsheet
A one-page facts and stats PDF, to help when considering journal options with your co-authors.
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I told my colleagues that PeerJ is a journal where they need to publish if they want their paper to be published quickly and with the strict peer review expected from a good journal.
Sohath Vanegas,
PeerJ Author
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Mario Luca Bernardi

I received the Laurea degree in Computer Science Engineering from the University of Naples Federico II, Italy, in 2003 and the Ph.D. degree in Information Engineering from the University of Sannio in 2007.

Since 2003 I have worked as a researcher in the field of software engineering writing more than 60 papers published in journals and conference proceedings. My main research interests include software maintenance and testing, software reuse, software reverse engineering, and re-engineering, with a particular interest in software modularization.
I also served both as a member of the program and organizing committees of several international conferences, and as a reviewer of papers submitted to some of the main journals and magazines in the field of data and process mining, software engineering, software maintenance, program comprehension, and the application of computational intelligence approaches in the above fields.
Currently, I am an Assistant Professor at Giustino Fortunato University, holding the courses of "Foundations of Computer Science" and "Software Systems and Services" for the Avionics Science and Technologies master degree.

Christian Bird

Christian Bird is a researcher in the empirical software engineering group at Microsoft Research.  Christian received B.S. from BYU and his Ph.D. from U.C. Davis.

Olga De Troyer

Olga De Troyer has a Masters degree in Mathematics and a Ph.D. in Computer Sciences. She has held research positions in industry and at universities. Since 1998 she is professor in the Computer Science Department of the Vrije Universiteit Brussel (Belgium) where she is co-director of the WISE research lab. Her research focus is on conceptual modeling formalisms and design methodologies. Over the years, the focus has moved from Database over Web systems towards Virtual Reality and Serious Games.

María José Del Jesus

She received the M.Sc. and Ph.D. degrees in Computer Science from the University of Granada, Spain, in 1994 and 1999, respectively.
She is an Associate Professor with the Department of Computer Science, University of Jaén, Spain.
Her current research interests include evolutionary fuzzy systems, subgroup discovery, data preparation, neural networks, knowledge extraction based on evolutionary algorithms, and data science.
Director of the Intelligent Systems and Data Mining Research Group.

Eibe Frank

Associate Professor of Computer Science at the University of Waikato in Hamilton, New Zealand; Co-author of the WEKA machine learning software and companion text book on machine learning techniques for data mining; Recipient, jointly with Ian Witten and the WEKA team, of the 2005 ACM SIGKDD Service Award.

Lynda Hardman

Lynda Hardman obtained her PhD from the University of Amsterdam in 1998, having graduated in Mathematics and Physics from Glasgow University in 1982. She was the development manager for Guide, the first hypertext authoring system for personal computers (1986). Her work on modelling hypermedia documents heavily influenced the first World Wide Web Consortium Synchronized Multimedia Integration Language recommendation. She is a board member of Informatics Europe,

Henning Hermjakob

As co-founder of the HUPO Proteomics Standards Initiative (PSI), Henning Hermjakob contributed to the development of a broad range of community data representation standards for proteomics and interactomics. Based on the trust and collaborative spirit built up in the development of data representation standards, he coordinated the next step, the intensive collaboration of proteomics and interactomics data resources globally in the IMEx [3] and ProteomeXchange [4] consortia, providing infrastructure support for the move towards an open data culture in proteomics. Building on his experience in interactomics, he is now co-PI of the Reactome Pathways database [1] and the BioModels resource of systems biology models [2]. Current research interests comprise distributed data resources ( and complex data visualisation.

1. Fabregat A, et al. The Reactome pathway Knowledgebase. Nucleic Acids Res. 2016 Jan 4;44(D1):D481-7.
2. Chelliah V, et al. BioModels: ten-year anniversary. Nucleic Acids Res. 2015 Jan;43 (Database issue):D542-8.
3. Orchard S, et al. Protein interaction data curation: the International Molecular Exchange (IMEx) consortium. Nat Methods. 2012 Mar 27;9(4):345-350.
4. Vizcaíno JA, et al. ProteomeXchange provides globally coordinated proteomics data submission and dissemination. Nat Biotechnol. 2014 Mar 10;32(3):223-6.
5. Lander ES, et al. Initial sequencing and analysis of the human genome.
Nature. 2001 Feb 15;409(6822):860-921.

Harry Hochheiser

My research has covered a range of topics, including human-computer interaction, information visualization, bioinformatics, universal usability, security, privacy, and public policy implications of computing systems. I am currently working on a variety of NIH-funded projects, including areas such as bioinformatics research portals, visualization for review of chart records, and tools for aiding the discovery of animal models of human diseases.

Yifan Hu

Yifan Hu is a Principal Research Scientist at Yahoo Labs. Previously he worked at AT&T Labs, Wolfram Research, and Daresbury Lab. He is a contributor to the Graphviz graph drawing system. His research interests include information visualization, machine learning, and numerical and combinatorical algorithms mining.

Klara Kedem

I was trained in mathematics and computer science at Tel Aviv University, now I am chairing the computer science department at Ben Gurion University. I have worked in the areas of computational geometry and bioinformatics, being mostly interested in shape resemblance and matching. Now I apply it to computer vision and image processing in my work on historical document analysis. We segment highly degraded documents, identify lines, and recognize words using pattern matching.