Umer Farooq

64 papers receiving 1.5k citations

Umer Farooq's Hit Papers

A Critical Review of Artificial Intelligence Based Approaches in Intrusion Detection: A Comprehensive Analysis 2024 · 58 citations
580+1Years since publication1020304050

Peers

Umer Farooq
Comparison fields: 5 of 122
  • Human-Computer Interaction 299
  • Computer Science Applications 170
  • Communication 172
  • Information Systems 413
  • Management of Technology and Innovation 107
Replace Nasser Alalwan with:
Nasser Alalwan Saudi Arabia
Asadullah Shah Malaysia
Nelson Baloian Chile
Jürgen Ziegler Germany
Anbang Xu United States
Krishnashree Achuthan India
Christos Papatheodorou Greece
César A. Collazos Colombia
Emma Brunskill United States
Genoveffa Tortora Italy
Umer Farooq relative to Nasser Alalwan Saudi Arabia Nasser Alalwan's profile →
Citations per field
00.5×4.5×
Nasser Alalwan · 1×
Citations per year

Countries citing papers authored by Umer Farooq

Since Specialization
Citations

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

Fields of papers citing papers by Umer Farooq

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Umer Farooq, 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 Umer Farooq Line = papers co-authored together Umer Farooq 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 2016126
2 2004121
3 2022112
4 201896
5 200791
6 201079
7 200766
8 200264
9 201660
10
A Critical Review of Artificial Intelligence Based Approaches in Intrusion Detection: A Comprehensive Analysis
Hit paper breakdown →
202458
11 200357
12 202252
13 202250
14 200741
15 201238
16 200529
17 202229
18 200728
19 201027
20 200725

About Umer Farooq

Umer Farooq is a scholar working on Human-Computer Interaction, Information Systems, Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 67 papers that have together received 1.7k indexed citations. Recurring topics across this work include Usability and User Interface Design (11 papers), Network Security and Intrusion Detection (7 papers), Personal Information Management and User Behavior (6 papers), Advanced Malware Detection Techniques (5 papers), Open Source Software Innovations (5 papers), IoT and Edge/Fog Computing (4 papers), Spreadsheets and End-User Computing (4 papers) and Innovative Approaches in Technology and Social Development (4 papers). The work is most often cited by research in Human-Computer Interaction (299 citations), Computer Science Applications (170 citations), Communication (172 citations), Information Systems (413 citations) and Management of Technology and Innovation (107 citations). Umer Farooq has collaborated with scholars based in Pakistan, United States and United Arab Emirates. Frequent co-authors include John M. Carroll, Craig H. Ganoe, Jonathan Grudin, Mary Beth Rosson, Sagheer Abbas, Lu Xiao, Cecelia Merkel, Muhammad Adnan Khan, C. Lee Giles and Ayesha Atta. Their work appears in journals such as Journal of King Saud University - Computer and Information Sciences, Sensors, Journal of the Association for Information Systems, International Journal of Human-Computer Studies and International Journal of Computer-Supported Collaborative Learning.

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.

Explore authors with similar magnitude of impact