Omdev Dahiya

830 citations
36 papers · 472 · 1 hit paper · h-index 12

Impact in

Papers in

Omdev Dahiya

33 papers receiving 422 citations

Omdev Dahiya's Hit Papers

Artificial Intelligence for Assessment and Feedback to Enhance Student Success in Higher Education 2022 · 196 citations
1960+1+2Years since publication50100150

Peers

Omdev Dahiya
Comparison fields: 5 of 83
  • Health Informatics 48
  • Computer Science Applications 114
  • Software 20
  • Information Systems 118
  • Artificial Intelligence 129
Replace Mohammed Najah Mahdi with:
Mohammed Najah Mahdi Malaysia
Abdullah Alshanqiti Saudi Arabia
Oğuzhan Topsakal United States
Nasser Giacaman New Zealand
Stephan Krusche Germany
Ingrid Russell United States
Lakshmana Kumar Ramasamy India
Sherry Yang United States
Mark Campbell United States
Manjur Kolhar Saudi Arabia
Omdev Dahiya relative to Mohammed Najah Mahdi Malaysia Mohammed Najah Mahdi's profile →
Citations per field
00.5×1.5×2.4×
Mohammed Najah Mahdi · 1×
Citations per year

Countries citing papers authored by Omdev Dahiya

Since Specialization
Citations

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

Fields of papers citing papers by Omdev Dahiya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Artificial Intelligence for Assessment and Feedback to Enhance Student Success in Higher Education
Hit paper breakdown →
2022196
2 202232
3 202229
4 201826
5 202323
6 202217
7 201915
8
Risk-Based Testing: Identifying, Assessing, Mitigating & Managing Risks Efficiently in Software Testing
202014
9 201914
10 202214
11 202112
12 202211
13 202310
14 20218
15 20207
16 20206
17 20234
18 20224
19 20233
20 20223

About Omdev Dahiya

Omdev Dahiya is a scholar working on Information Systems, Computer Networks and Communications, Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Science Applications, having authored 36 papers that have together received 472 indexed citations. Recurring topics across this work include Online Learning and Analytics (6 papers), Artificial Intelligence in Healthcare (5 papers), Software Testing and Debugging Techniques (5 papers), Software Reliability and Analysis Research (5 papers), Blockchain Technology Applications and Security (4 papers), Smart Systems and Machine Learning (4 papers), Software System Performance and Reliability (4 papers) and IoT and Edge/Fog Computing (3 papers). The work is most often cited by research in Health Informatics (48 citations), Computer Science Applications (114 citations), Software (20 citations), Information Systems (118 citations) and Artificial Intelligence (129 citations). Omdev Dahiya has collaborated with scholars based in India, Saudi Arabia and Ethiopia. Frequent co-authors include Chhavi Rana, Md Shamim Hossain, Ali Rizwan, Kamna Solanki, Manik Rakhra, Dalwinder Singh, Bhupesh Kumar Singh, Arun Singh, Suman Avdhesh Yadav and Abid Sarwar. Their work appears in journals such as IEEE Access, Mathematical Problems in Engineering, Scientific Programming, International Journal of Emerging Trends in Engineering Research and International Journal of Engineering Trends and Technology.

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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