Torab Torabi

469 citations
56 papers · 356 · h-index 9

Impact in

Papers in

Torab Torabi

50 papers receiving 337 citations

Peers

Torab Torabi
Comparison fields: 5 of 71
  • Management Information Systems 71
  • Information Systems 113
  • Medical Laboratory Technology 6
  • Computer Networks and Communications 68
  • Cognitive Neuroscience 52
Replace Po‐Hsun Cheng with:
Po‐Hsun Cheng Taiwan
Judy Bowen New Zealand
Cristiano Mancini Italy
Ishaya Gambo Nigeria
Raúl Miñón Spain
Konstantinos Koumaditis Denmark
Anitha S. Pillai India
Manoli Albert Spain
Jane T. Malin United States
Martin Hanneghan United Kingdom
Torab Torabi relative to Po‐Hsun Cheng Taiwan Po‐Hsun Cheng's profile →
Citations per field
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Citations per year

Countries citing papers authored by Torab Torabi

Since Specialization
Citations

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

Fields of papers citing papers by Torab Torabi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202075
2 201234
3 201018
4 200616
5 201316
6 202414
7 200912
8 201011
9 201110
10 20079
11 20088
12 20138
13 20087
14 20117
15 20086
16 20126
17
Analytical Dependency between Organisational goals and actions: Modelling concept
20126
18 20065
19 20095
20
XML Schema for Software Process Framework.
20035

About Torab Torabi

Torab Torabi is a scholar working on Management Information Systems, Information Systems, Computer Networks and Communications, Computer Vision and Pattern Recognition and Human-Computer Interaction, having authored 56 papers that have together received 356 indexed citations. Recurring topics across this work include Service-Oriented Architecture and Web Services (15 papers), Business Process Modeling and Analysis (13 papers), Context-Aware Activity Recognition Systems (12 papers), Multi-Agent Systems and Negotiation (5 papers), Mobile Agent-Based Network Management (5 papers), Opportunistic and Delay-Tolerant Networks (4 papers), Multimedia Communication and Technology (4 papers) and Mobile and Web Applications (4 papers). The work is most often cited by research in Management Information Systems (71 citations), Information Systems (113 citations), Medical Laboratory Technology (6 citations), Computer Networks and Communications (68 citations) and Cognitive Neuroscience (52 citations). Torab Torabi has collaborated with scholars based in Australia, Malaysia and Saudi Arabia. Frequent co-authors include Seng Wai Loke, Naveen Chilamkurti, Nicholas F. Taylor, Marcella Carragher, Hilary M. Johnson, Robyn O’Halloran, Miranda L. Rose, Saqib Ali, Tuan Anh Nguyen and Ben Soh. Their work appears in journals such as Expert Systems with Applications, Disability and Rehabilitation, Aphasiology, International Journal of Web and Grid Services and Journal of Intelligent Manufacturing.

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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