Mohammad Allahbakhsh

1.2k total citations · 1 hit paper
24 papers, 657 citations indexed

About

Mohammad Allahbakhsh is a scholar working on Information Systems, Computer Science Applications and Artificial Intelligence. According to data from OpenAlex, Mohammad Allahbakhsh has authored 24 papers receiving a total of 657 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Information Systems, 14 papers in Computer Science Applications and 9 papers in Artificial Intelligence. Recurrent topics in Mohammad Allahbakhsh's work include Mobile Crowdsensing and Crowdsourcing (14 papers), Spam and Phishing Detection (5 papers) and Privacy-Preserving Technologies in Data (4 papers). Mohammad Allahbakhsh is often cited by papers focused on Mobile Crowdsensing and Crowdsourcing (14 papers), Spam and Phishing Detection (5 papers) and Privacy-Preserving Technologies in Data (4 papers). Mohammad Allahbakhsh collaborates with scholars based in Iran, Australia and United States. Mohammad Allahbakhsh's co-authors include Boualem Benatallah, Aleksandar Ignjatović, Elisa Bertino, Hamid Reza Motahari‐Nezhad, Schahram Dustdar, Florian Daniel, Cinzia Cappiello, Pavel Kucherbaev, Haleh Amintoosi and Salil S. Kanhere and has published in prestigious journals such as ACM Computing Surveys, Briefings in Bioinformatics and IEEE Transactions on Parallel and Distributed Systems.

In The Last Decade

Mohammad Allahbakhsh

23 papers receiving 643 citations

Hit Papers

Quality Control in Crowdsourcing Systems: Issues and Dire... 2013 2026 2017 2021 2013 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Quality Control in Crowdsourcing Systems: Issues and Directions
    2013 272 citations Mohammad Allahbakhsh, Boualem Benatallah et al. IEEE Internet Computing profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mohammad Allahbakhsh Iran 9 401 266 182 121 71 24 657
Max Goldman United States 11 566 1.4× 282 1.1× 274 1.5× 102 0.8× 48 0.7× 19 776
Ricardo Kawase Germany 10 274 0.7× 230 0.9× 130 0.7× 66 0.5× 82 1.2× 38 480
Maja Vuković United States 12 425 1.1× 137 0.5× 231 1.3× 95 0.8× 82 1.2× 63 757
Hamid Reza Motahari‐Nezhad United States 15 198 0.5× 354 1.3× 394 2.2× 137 1.1× 90 1.3× 33 831
Michele Catasta Switzerland 12 187 0.5× 450 1.7× 265 1.5× 161 1.3× 70 1.0× 28 710
Jim Laredo United States 12 223 0.6× 164 0.6× 271 1.5× 56 0.5× 120 1.7× 39 691
Jeffrey M. Rzeszotarski United States 13 281 0.7× 190 0.7× 85 0.5× 62 0.5× 99 1.4× 28 593
Eben M. Haber United States 15 205 0.5× 222 0.8× 424 2.3× 40 0.3× 109 1.5× 33 991
Katharina Siorpaes Austria 10 125 0.3× 336 1.3× 171 0.9× 49 0.4× 28 0.4× 13 483
Alexander Mikroyannidis United Kingdom 12 179 0.4× 218 0.8× 269 1.5× 29 0.2× 55 0.8× 82 757

Countries citing papers authored by Mohammad Allahbakhsh

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Allahbakhsh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammad Allahbakhsh

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Allahbakhsh. A scholar is included among the top collaborators of Mohammad Allahbakhsh 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 Mohammad Allahbakhsh. Mohammad Allahbakhsh 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
1.
Allahbakhsh, Mohammad, et al.. (2024). Towards a Standard Framework for Integrating Blockchain with the Internet of Things. 142–148. 2 indexed citations
2.
3.
Allahbakhsh, Mohammad, et al.. (2024). A Study Framework for Blockchain Consensus Algorithms. 149–155. 1 indexed citations
4.
5.
Amintoosi, Haleh, et al.. (2024). A clarity and fairness aware framework for selecting workers in competitive crowdsourcing tasks. Computing. 106(9). 3005–3030. 1 indexed citations
6.
Allahbakhsh, Mohammad, et al.. (2023). DiMo: discovery of microRNA motifs using deep learning and motif embedding. Briefings in Bioinformatics. 24(3). 1 indexed citations
7.
Behkamal, Behshid, et al.. (2023). State of the art on quality control for data streams: A systematic literature review. Computer Science Review. 48. 100554–100554. 4 indexed citations
8.
Allahbakhsh, Mohammad, et al.. (2022). Sharing Reputation Data Across Online Communities. IEEE Internet Computing. 26(4). 60–67. 1 indexed citations
9.
Allahbakhsh, Mohammad, Haleh Amintoosi, Behshid Behkamal, Amin Beheshti, & Elisa Bertino. (2021). SCiMet: Stable, sCalable and reliable Metric-based framework for quality assessment in collaborative content generation systems. Journal of Informetrics. 15(2). 101127–101127. 2 indexed citations
10.
Allahbakhsh, Mohammad, Haleh Amintoosi, Behshid Behkamal, Salil S. Kanhere, & Elisa Bertino. (2020). AQA: An Adaptive Quality Assessment Framework for Online Review Systems. IEEE Transactions on Services Computing. 15(3). 1486–1497. 5 indexed citations
11.
Allahbakhsh, Mohammad, Haleh Amintoosi, Aleksandar Ignjatović, & Elisa Bertino. (2019). A Trust-Based Experience-Aware Framework for Integrating Fuzzy Recommendations. IEEE Transactions on Services Computing. 15(2). 698–709. 4 indexed citations
12.
Daniel, Florian, Pavel Kucherbaev, Cinzia Cappiello, Boualem Benatallah, & Mohammad Allahbakhsh. (2018). Quality Control in Crowdsourcing. ACM Computing Surveys. 51(1). 1–40. 182 indexed citations
13.
Allahbakhsh, Mohammad, et al.. (2018). Crowdsourcing planar facility location allocation problems. Computing. 101(3). 237–261. 9 indexed citations
14.
Allahbakhsh, Mohammad & Aleksandar Ignjatović. (2014). An Iterative Method for Calculating Robust Rating Scores. IEEE Transactions on Parallel and Distributed Systems. 26(2). 340–350. 35 indexed citations
15.
Allahbakhsh, Mohammad, et al.. (2014). Harnessing Implicit Teamwork Knowledge to Improve Quality in Crowdsourcing Processes. 17–24. 10 indexed citations
16.
Amintoosi, Haleh, Salil S. Kanhere, & Mohammad Allahbakhsh. (2014). Trust-based privacy-aware participant selection in social participatory sensing. Journal of Information Security and Applications. 20. 11–25. 45 indexed citations
17.
Allahbakhsh, Mohammad, Aleksandar Ignjatović, Hamid Reza Motahari‐Nezhad, & Boualem Benatallah. (2013). Robust evaluation of products and reviewers in social rating systems. World Wide Web. 18(1). 73–109. 22 indexed citations
18.
Amintoosi, Haleh, Mohammad Allahbakhsh, Salil S. Kanhere, & Masood Niazi Torshiz. (2013). Trust assessment in social participatory networks. 437–442. 2 indexed citations
19.
Allahbakhsh, Mohammad, Aleksandar Ignjatović, Boualem Benatallah, et al.. (2013). Representation and querying of unfair evaluations in social rating systems. Computers & Security. 41. 68–88. 11 indexed citations
20.
Allahbakhsh, Mohammad, Aleksandar Ignjatović, Boualem Benatallah, et al.. (2012). Reputation Management in Crowdsourcing Systems. 41 indexed citations

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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