Omar Khattab

4.7k citations
37 papers · 1.0k · 2 hit papers · h-index 11

Impact in

Papers in

Omar Khattab

31 papers receiving 948 citations

Omar Khattab's Hit Papers

Image and data mining in reticular chemistry powered by GPT-4V 2024 · 36 citations
360+2+4Years since publication100200300400

Peers

Omar Khattab
Comparison fields: 5 of 86
  • Artificial Intelligence 619
  • Computer Vision and Pattern Recognition 287
  • Building and Construction 144
  • Information Systems 211
  • Speech and Hearing 34
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Enyan Dai United States
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Citations per field
00.5×10×20×34×
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Citations per year

Countries citing papers authored by Omar Khattab

Since Specialization
Citations

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

Fields of papers citing papers by Omar Khattab

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1
ColBERT
Hit paper breakdown →
2020467
2 2003155
3 2022114
4 202171
5
Image and data mining in reticular chemistry powered by GPT-4V
Hit paper breakdown →
202436
6 202430
7 202220
8
Survey on Media Independent Handover (MIH) Approaches in Heterogeneous Wireless Networks
201316
9 201811
10 201311
11 202310
12 20229
13 20248
14 20247
15 20147
16 20205
17
An Overview of Interworking Architectures in Heterogeneous Wireless Networks: Objectives, Features and Challenges.
20144
18
A Survey on MIH vs. ANDSF: Who Will Lead the Seamless Vertical Handover through Heterogeneous Networks?
20144
19 20184
20 20243

About Omar Khattab

Omar Khattab is a scholar working on Artificial Intelligence, Computer Networks and Communications, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Information Systems, having authored 37 papers that have together received 1.0k indexed citations. Recurring topics across this work include IPv6, Mobility, Handover, Networks, Security (9 papers), Topic Modeling (9 papers), Natural Language Processing Techniques (8 papers), Wireless Communication Networks Research (5 papers), Advanced Authentication Protocols Security (4 papers), Multimodal Machine Learning Applications (4 papers), Wireless Networks and Protocols (4 papers) and Information Retrieval and Search Behavior (2 papers). The work is most often cited by research in Artificial Intelligence (619 citations), Computer Vision and Pattern Recognition (287 citations), Building and Construction (144 citations), Information Systems (211 citations) and Speech and Hearing (34 citations). Omar Khattab has collaborated with scholars based in United States, Kuwait and Qatar. Frequent co-authors include Matei Zaharia, Adil Al-Mumin, Christopher Potts, Jon Saad-Falcon, Keshav Santhanam, Omar Alani, Nicola Tonellotto, Antonio Mallia, Torsten Suel and Zhiling Zheng. Their work appears in journals such as Knowledge-Based Systems, International Journal of Wireless Information Networks, Energy and Buildings, Computers, materials & continua/Computers, materials & continua (Print) and Proceedings of the VLDB Endowment.

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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