Zulfiqar Ali Memon

697 citations
46 papers · 321 indexed · h-index 12

Zulfiqar Ali Memon

43 papers receiving 302 citations

Peers

Zulfiqar Ali Memon
Comparison fields: 5 of 68
  • Computer Science Applications 28
  • Information Systems 96
  • Human-Computer Interaction 21
  • Artificial Intelligence 94
  • Computer Networks and Communications 66
Replace Jaechoon Jo with:
Jaechoon Jo South Korea
Jorge García‐Duque Spain
Yonghui Dai China
Norbou Buchler United States
Norliza Katuk Malaysia
Prasert Kanthamanon Thailand
João Carneiro Portugal
Pinata Winoto China
Praveen Madiraju United States
Muhammad Zaffwan Idris Malaysia
Zulfiqar Ali Memon relative to Jaechoon Jo South Korea Jaechoon Jo's profile →
Citations per field
00.5×2.8×
Jaechoon Jo · 1×
Citations per year

Countries citing papers authored by Zulfiqar Ali Memon

Since Specialization
Citations

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

Fields of papers citing papers by Zulfiqar Ali Memon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zulfiqar Ali Memon. 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 Zulfiqar Ali Memon. The network helps show where Zulfiqar Ali Memon may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20243
2 20242
3 20241
4 20240
5 202313
6 20232
7 20232
8 20233
9 20231
10 20226
11 20220
12 202123
13 201920
14 201819
15
The SNS-Based E-Learning Model to Provide Smart Solution for E-Learning
20185
16 20157
17 201313
18 201123
19 20116
20 20101

About Zulfiqar Ali Memon

Zulfiqar Ali Memon is a scholar working on Human-Computer Interaction, Artificial Intelligence and Computer Science Applications, having authored 46 papers that have together received 321 indexed citations. Recurring topics across this work include Multi-Agent Systems and Negotiation (8 papers), Social Robot Interaction and HRI (6 papers), Team Dynamics and Performance (4 papers), Cloud Data Security Solutions (4 papers), Evolutionary Game Theory and Cooperation (4 papers), IoT and Edge/Fog Computing (3 papers), Security and Verification in Computing (3 papers) and Stock Market Forecasting Methods (3 papers). The work is most often cited by research in Computer Science Applications (28 citations), Information Systems (96 citations) and Human-Computer Interaction (21 citations). Zulfiqar Ali Memon has collaborated with scholars based in Pakistan, Netherlands and Malaysia. Frequent co-authors include Jan Treur, Tibor Bosse, C. Natalie van der Wal, Sadiq Ullah, Mark Hoogendoorn, Ghulam Ali Mallah, Michel Klein, Touseef Sadiq, Inam Ullah Khan and Muhammad Umair. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

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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