Abebe Rorissa

52 papers receiving 562 citations

Peers

Abebe Rorissa
Comparison fields: 5 of 117
  • Information Systems and Management 83
  • Communication 59
  • Media Technology 70
  • Political Science and International Relations 165
  • Computer Vision and Pattern Recognition 118
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Victoria Wang United Kingdom
Seungwon Yang United States
Thiagarajan Ramakrishnan United States
Urban Nuldén Sweden
Andrea Ballatore United Kingdom
Jan Nolin Sweden
Mariam Rehman Pakistan
Douglas Schuler United States
Paul Ohm United States
Stephen H. Holden United States
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Citations per year

Countries citing papers authored by Abebe Rorissa

Since Specialization
Citations

This map shows the geographic impact of Abebe Rorissa'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 Abebe Rorissa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abebe Rorissa more than expected).

Fields of papers citing papers by Abebe Rorissa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Abebe Rorissa. 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 Abebe Rorissa. The network helps show where Abebe Rorissa may publish in the future.

Co-authors

The 25 scholars most cited alongside Abebe Rorissa, 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 Abebe Rorissa Line = papers co-authored together Abebe Rorissa links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201384
2 201180
3 201059
4 200846
5 201041
6 201140
7 202136
8 202231
9 200829
10 200416
11 201915
12 201810
13 201110
14 200910
15 20076
16 20206
17 20185
18 20215
19 20155
20 20155

About Abebe Rorissa

Abebe Rorissa is a scholar working on Information Systems, Political Science and International Relations, Computer Vision and Pattern Recognition, Information Systems and Management and Media Technology, having authored 64 papers that have together received 603 indexed citations. Recurring topics across this work include E-Government and Public Services (13 papers), Image Retrieval and Classification Techniques (10 papers), ICT Impact and Policies (9 papers), Data Quality and Management (8 papers), Advanced Image and Video Retrieval Techniques (8 papers), Technology Adoption and User Behaviour (7 papers), scientometrics and bibliometrics research (6 papers) and Semantic Web and Ontologies (6 papers). The work is most often cited by research in Information Systems and Management (83 citations), Communication (59 citations), Media Technology (70 citations), Political Science and International Relations (165 citations) and Computer Vision and Pattern Recognition (118 citations). Abebe Rorissa has collaborated with scholars based in United States, Pakistan and Canada. Frequent co-authors include Theresa A. Pardo, Xiaojun Yuan, Nosheen Fatima Warraich, Yuhui Chen, Yu‐Hui Chen, Paul Clough, Jisue Lee, Loni Hagen, Lai Ma and Suliman Hawamdeh. Their work appears in journals such as Proceedings of the American Society for Information Science and Technology, Government Information Quarterly, portal Libraries and the Academy, Libri and Information Processing & Management.

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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