Sofia Sherman

496 citations
29 papers · 337 · h-index 8

Impact in

Papers in

Sofia Sherman

24 papers receiving 324 citations

Peers

Sofia Sherman
Comparison fields: 5 of 51
  • Information Systems 169
  • Sociology and Political Science 120
  • Artificial Intelligence 69
  • Management Information Systems 15
  • Law 20
Replace Mala Kaul with:
Mala Kaul United States
Jonathan Foster United Kingdom
Leslie R. Fine United States
Paulius Jurčys Lithuania
Nadine Guhr Germany
David Lacey Australia
Ben Chester Cheong Singapore
Kari Rönkkö Sweden
Peter Graham Underwood South Africa
Irina Heimbach Germany
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Citations per field
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Citations per year

Countries citing papers authored by Sofia Sherman

Since Specialization
Citations

This map shows the geographic impact of Sofia Sherman's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Sofia Sherman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sofia Sherman more than expected).

Fields of papers citing papers by Sofia Sherman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sofia Sherman. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Sofia Sherman. The network helps show where Sofia Sherman may publish in the future.

Co-authors

The 12 scholars most cited alongside Sofia Sherman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sofia Sherman Line = papers co-authored together Sofia Sherman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017151
2 201322
3 202421
4 201520
5 202118
6 201716
7 201610
8 20229
9
Learning Human Aspects of Collaborative Software Development
20088
10 20128
11 20128
12 20148
13
Enhancing Software Architecture Review Process via Knowledge Management
20106
14 20125
15 20125
16 20113
17 20133
18 20153
19 20163
20 20233

About Sofia Sherman

Sofia Sherman is a scholar working on Information Systems, Artificial Intelligence, Information Systems and Management, Safety Research and Computer Science Applications, having authored 29 papers that have together received 337 indexed citations. Recurring topics across this work include Software Engineering Techniques and Practices (17 papers), Advanced Software Engineering Methodologies (10 papers), Information Systems Theories and Implementation (3 papers), Ethics and Social Impacts of AI (3 papers), Business and Management Studies (2 papers), Software Engineering Research (2 papers), Privacy, Security, and Data Protection (2 papers) and Teaching and Learning Programming (2 papers). The work is most often cited by research in Information Systems (169 citations), Sociology and Political Science (120 citations), Artificial Intelligence (69 citations), Management Information Systems (15 citations) and Law (20 citations). Sofia Sherman has collaborated with scholars based in Israel. Frequent co-authors include Irit Hadar, Michael Birnhack, Oshrat Ayalon, Eran Toch, Gil Luria, Ruti Gafni, Itzhak Aviv, Meira Levy, Yariv Itzkovich and Artem Barger. Their work appears in journals such as Journal of the Association for Information Systems, Empirical Software Engineering, Information and Software Technology, Journal of Information Technology Education Research and IEEE Software.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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