Mohamed Sarwat

1.9k citations
48 papers · 1.2k indexed · 2 hit papers · h-index 15
Topics
Data Management and Algorithms (39 papers)Advanced Database Systems and Queries (16 papers)Recommender Systems and Techniques (12 papers)

In The Last Decade

Mohamed Sarwat

48 papers receiving 1.2k citations

Hit Papers

LARS: A Location-Aware Recommender System20122026201620212012201550100150200250

Peers

Mohamed Sarwat
Comparison fields: 5 of 73
  • Signal Processing 619
  • Information Systems 546
  • Computer Networks and Communications 399
  • Transportation 373
  • Computer Vision and Pattern Recognition 273
Replace Ahmed Eldawy with:
Ahmed Eldawy United States
Jia-Dong Zhang Hong Kong
Kaiqi Zhao New Zealand
Justin J. Levandoski United States
Hoyoung Jeung Switzerland
Lu‐An Tang United States
Ke Deng Australia
Peng Han China
Eric Hsueh-Chan Lu Taiwan
Thomas Brinkhoff Germany
Mohamed Sarwat relative to Ahmed Eldawy United States Ahmed Eldawy's profile →
Citations per field
00.5×1.5×
Ahmed Eldawy · 1×
Citations per year

Countries citing papers authored by Mohamed Sarwat

Since Specialization
Citations

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

Fields of papers citing papers by Mohamed Sarwat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohamed Sarwat

This figure shows the co-authorship network connecting the top 25 collaborators of Mohamed Sarwat. A scholar is included among the top collaborators of Mohamed Sarwat based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mohamed Sarwat. Mohamed Sarwat is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 4
2 4
3 2
4 8
5 5
6 6
7 26
8 2
9 10
10 9
11 25
12 3
13 231
14 1
15 4
16 26
17
Horton: Online Query Execution Engine for Large Distributed Graphs (Demo Track)
1
18
LARS: A Location-Aware Recommender Systembreakdown →
277
19 10
20 2

About Mohamed Sarwat

Mohamed Sarwat is a scholar working on Signal Processing, Geography, Planning and Development and Transportation, having authored 48 papers that have together received 1.2k indexed citations. Recurring topics across this work include Data Management and Algorithms (39 papers), Advanced Database Systems and Queries (16 papers) and Recommender Systems and Techniques (12 papers). The work is most often cited by research in Signal Processing (619 citations), Transportation (373 citations) and Geography, Planning and Development (166 citations). Mohamed Sarwat has collaborated with scholars based in United States, Iran and United Kingdom. Frequent co-authors include Jia Yu, Mohamed F. Mokbel, Ahmed Eldawy, Justin J. Levandoski, Mehrnoush Shamsfard, Rana Forsati, Mehrdad Mahdavi, Yuxiong He, Sameh Elnikety and Jie Bao. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, Proceedings of the VLDB Endowment and ACM Transactions on Database Systems.

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

Rankless by CCL
2026