Anas Mahmoud

1.7k total citations
60 papers, 1.1k citations indexed

About

Anas Mahmoud is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Anas Mahmoud has authored 60 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Information Systems, 20 papers in Artificial Intelligence and 10 papers in Computer Networks and Communications. Recurrent topics in Anas Mahmoud's work include Software Engineering Research (39 papers), Web Data Mining and Analysis (16 papers) and Software Engineering Techniques and Practices (11 papers). Anas Mahmoud is often cited by papers focused on Software Engineering Research (39 papers), Web Data Mining and Analysis (16 papers) and Software Engineering Techniques and Practices (11 papers). Anas Mahmoud collaborates with scholars based in United States, Canada and Denmark. Anas Mahmoud's co-authors include Nan Niu, Grant Williams, Nishant Jha, Gary Bradshaw, Mehdi Farasat, Amir Masoud Bozorgi, Tanmay Bhowmik, Steven L. Waslander, Juha Savolainen and Songhua Xu and has published in prestigious journals such as IEEE Transactions on Software Engineering, Information and Software Technology and Empirical Software Engineering.

In The Last Decade

Anas Mahmoud

58 papers receiving 1.1k citations

Peers

Countries citing papers authored by Anas Mahmoud

Since Specialization

Citations

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

Fields of papers citing papers by Anas Mahmoud

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anas Mahmoud

This figure shows the co-authorship network connecting the top 25 collaborators of Anas Mahmoud. A scholar is included among the top collaborators of Anas Mahmoud 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 Anas Mahmoud. Anas Mahmoud is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Large Self-Supervised Models Bridge the Gap in Domain Adaptive Object Detection 2025 ·(unknown), Anas Mahmoud, Steven L. Waslander	0
2	LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding 2024 ·(unknown), (unknown), (unknown), (unknown), Bram Wasti, Liangzhen Lai, Anas Mahmoud, Bilge Acun, Saurabh Agarwal, (unknown), A. Aly, Beidi Chen, Carole-Jean Wu	7
3	Generating Rate Features for Mobile Applications 2024 ·Civil War Book Review ·(unknown), Anas Mahmoud	0
4	Unsupervised Summarization of Privacy Concerns in Mobile Application Reviews 2022 ·Civil War Book Review ·(unknown), Anas Mahmoud	8
5	Domain-specific analysis of mobile app reviews using keyword-assisted topic models 2022 ·Civil War Book Review ·(unknown), (unknown), Anas Mahmoud	16
6	An Advanced Deep Learning Approach for Multi-Object Counting in Urban Vehicular Environments 2021 ·Future Internet ·(unknown), Henry Alexander Ignatious, Hesham El‐Sayed, Manzoor Ahmed Khan, (unknown), Anas Mahmoud, (unknown)	8
7	Modeling user concerns in Sharing Economy: the case of food delivery apps 2020 ·Automated Software Engineering ·Grant Williams, (unknown), (unknown), Anas Mahmoud	33
8	Video Game Development in a Rush: A Survey of the Global Game Jam Participants 2020 ·IEEE Transactions on Games ·Markus Borg, Vahid Garousi, Anas Mahmoud, Thomas Olsson, (unknown)	8
9	Linguistic Change in Open Source Software 2019 ·Civil War Book Review ·(unknown), (unknown), Anas Mahmoud	1
10	Using frame semantics for classifying and summarizing application store reviews 2018 ·Empirical Software Engineering ·Nishant Jha, Anas Mahmoud	30
11	MARC: A Mobile Application Review Classifier. 2017 ·Civil War Book Review ·Nishant Jha, Anas Mahmoud	2
12	Departures from optimality: understanding human analyst's information foraging in assisted requirements tracing 2013 ·International Conference on Software Engineering ·Nan Niu, Anas Mahmoud, (unknown), Gary Bradshaw	24
13	Departures from optimality: Understanding human analyst's information foraging in assisted requirements tracing 2013 ·2013 35th International Conference on Software Engineering (ICSE) ·Nan Niu, Anas Mahmoud, (unknown), Gary Bradshaw	20
14	Supporting requirements to code traceability through refactoring 2013 ·Requirements Engineering ·Anas Mahmoud, Nan Niu	30
15	Supporting requirements traceability through refactoring 2013 ·Anas Mahmoud, Nan Niu	20
16	Evaluating software clustering algorithms in the context of program comprehension 2013 ·Anas Mahmoud, Nan Niu	7
17	Automatic labeling of software requirements clusters 2012 ·Nan Niu, (unknown), Anas Mahmoud, Tanmay Bhowmik, Songhua Xu	13
18	Toward an effective automated tracing process 2012 ·Anas Mahmoud	2
19	A semantic relatedness approach for traceability link recovery 2012 ·Anas Mahmoud, Nan Niu, Songhua Xu	36
20	An experimental investigation of reusable requirements retrieval 2010 ·Anas Mahmoud, Nan Niu	5

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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