Solomon Negash

64 papers receiving 1.0k citations

Peers

Solomon Negash
Comparison fields: 5 of 119
  • Information Systems and Management 509
  • Organizational Behavior and Human Resource Management 281
  • Management Information Systems 207
  • Marketing 196
  • Business and International Management 28
Replace Yong Jin Kim with:
Yong Jin Kim South Korea
David Edgar United Kingdom
Rosemary Stockdale Australia
Nabeel Al-Qirim United Arab Emirates
Hatice Kizgin United Kingdom
Çiğdem Altın Gümüşsoy Türkiye
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Citations per year

Countries citing papers authored by Solomon Negash

Since Specialization
Citations

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

Fields of papers citing papers by Solomon Negash

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002365
2 2004174
3 2005170
4 201643
5 201742
6 200835
7 201831
8 201525
9
Differences in public and private sector adoption of telemedicine: Indian case study for sectoral adoption.
200723
10 201819
11 201514
12
Hybrid Learning: Balancing Face-to-Face and Online Class Sessions
200713
13 200712
14 202112
15 201011
16 201711
17 201510
18 201110
19
Journalism: How One University Used Virtual Worlds to Tell True Stories
20169
20
Teaching Africa: A Guide for the 21st-Century Classroom
20138

About Solomon Negash

Solomon Negash is a scholar working on Information Systems, Information Systems and Management, Media Technology, Education and Communication, having authored 67 papers that have together received 1.2k indexed citations. Recurring topics across this work include Technology Adoption and User Behaviour (22 papers), ICT Impact and Policies (14 papers), ICT in Developing Communities (9 papers), Online and Blended Learning (8 papers), Knowledge Management and Sharing (7 papers), Digital Platforms and Economics (7 papers), E-Government and Public Services (4 papers) and Digital Marketing and Social Media (4 papers). The work is most often cited by research in Information Systems and Management (509 citations), Organizational Behavior and Human Resource Management (281 citations), Management Information Systems (207 citations), Marketing (196 citations) and Business and International Management (28 citations). Solomon Negash has collaborated with scholars based in United States, Ethiopia and Norway. Frequent co-authors include Magid Igbaria, Terry Ryan, Waymond Rodgers, Kwanho Suk, Peter Meso, Philip F. Musa, Doug Vogel, Sundeep Sahay, Michael E. Whitman and Richard T. Watson. Their work appears in journals such as Journal of the Association for Information Systems, Information Technology for Development, Journal of Global Information Management, PLoS ONE and The Journal of Chemical Physics.

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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