Ali Fallah Tehrani

808 total citations
20 papers, 483 citations indexed

About

Ali Fallah Tehrani is a scholar working on Artificial Intelligence, Management Science and Operations Research and Statistics and Probability. According to data from OpenAlex, Ali Fallah Tehrani has authored 20 papers receiving a total of 483 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 12 papers in Management Science and Operations Research and 8 papers in Statistics and Probability. Recurrent topics in Ali Fallah Tehrani's work include Multi-Criteria Decision Making (11 papers), Fuzzy Systems and Optimization (5 papers) and Bayesian Modeling and Causal Inference (4 papers). Ali Fallah Tehrani is often cited by papers focused on Multi-Criteria Decision Making (11 papers), Fuzzy Systems and Optimization (5 papers) and Bayesian Modeling and Causal Inference (4 papers). Ali Fallah Tehrani collaborates with scholars based in Germany, Romania and India. Ali Fallah Tehrani's co-authors include Monica Ciolacu, Eyke Hüllermeier, Weiwei Cheng, Paul Svasta, Manish Aggarwal, Diane Ahrens, Krzysztof Dembczyński and Marc Strickert and has published in prestigious journals such as Information Sciences, IEEE Transactions on Fuzzy Systems and Machine Learning.

In The Last Decade

Ali Fallah Tehrani

20 papers receiving 459 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ali Fallah Tehrani Germany 9 203 188 115 85 83 20 483
Michael Stein Germany 9 71 0.3× 146 0.8× 30 0.3× 76 0.9× 13 0.2× 41 393
Hesham Hassan Egypt 12 205 1.0× 51 0.3× 39 0.3× 159 1.9× 11 0.1× 60 448
Zora Konjović Serbia 10 176 0.9× 38 0.2× 37 0.3× 165 1.9× 8 0.1× 79 463
Edi Sutoyo Indonesia 12 159 0.8× 25 0.1× 35 0.3× 211 2.5× 8 0.1× 76 434
Eduardo Peis Spain 8 166 0.8× 122 0.6× 19 0.2× 204 2.4× 9 0.1× 29 409
Miguel J. Hornos Spain 12 100 0.5× 97 0.5× 11 0.1× 46 0.5× 12 0.1× 42 348
Francisco P. Romero Spain 12 493 2.4× 103 0.5× 48 0.4× 307 3.6× 6 0.1× 42 769
Dagoberto Castellanos–Nieves Spain 11 208 1.0× 52 0.3× 99 0.9× 167 2.0× 3 0.0× 27 418
Juan Bernabé-Moreno Spain 12 226 1.1× 69 0.4× 22 0.2× 222 2.6× 8 0.1× 31 469
E. Stensrud Norway 10 169 0.8× 63 0.3× 38 0.3× 877 10.3× 40 0.5× 13 1.1k

Countries citing papers authored by Ali Fallah Tehrani

Since Specialization
Citations

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

Fields of papers citing papers by Ali Fallah Tehrani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ali Fallah Tehrani

This figure shows the co-authorship network connecting the top 25 collaborators of Ali Fallah Tehrani. A scholar is included among the top collaborators of Ali Fallah Tehrani 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 Ali Fallah Tehrani. Ali Fallah Tehrani 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.
Tehrani, Ali Fallah. (2023). Modeling andness in multilabel classification to recognize mutual information. Pattern Recognition Letters. 167. 98–106. 4 indexed citations
2.
Tehrani, Ali Fallah. (2021). On correlated information for learning predictive models under the Choquet integral. Expert Systems. 38(8). 1 indexed citations
3.
Tehrani, Ali Fallah. (2021). Heuristics-based learning approach for choquistic regression models. Pattern Recognition Letters. 149. 137–142. 1 indexed citations
4.
Tehrani, Ali Fallah, Marc Strickert, & Diane Ahrens. (2020). A class of monotone kernelized classifiers on the basis of the Choquet integral. Expert Systems. 37(3). 2 indexed citations
5.
6.
Tehrani, Ali Fallah. (2020). The Choquet Kernel on the use of Regression Problem. Information Sciences. 556. 256–272. 3 indexed citations
7.
Aggarwal, Manish & Ali Fallah Tehrani. (2019). Modelling Human Decision Behaviour with Preference Learning. INFORMS journal on computing. 31(2). 318–334. 54 indexed citations
8.
9.
Tehrani, Ali Fallah & Diane Ahrens. (2017). Modified sequential k‐means clustering by utilizing response: A case study for fashion products. Expert Systems. 34(6). 8 indexed citations
10.
Ciolacu, Monica, et al.. (2017). Education 4.0 — Fostering student's performance with machine learning methods. 438–443. 87 indexed citations
11.
Tehrani, Ali Fallah & Diane Ahrens. (2017). Modeling label dependence for multi-label classification using the Choquistic regression. Pattern Recognition Letters. 92. 75–80. 4 indexed citations
12.
Tehrani, Ali Fallah & Diane Ahrens. (2016). Enhanced predictive models for purchasing in the fashion field by using kernel machine regression equipped with ordinal logistic regression. Journal of Retailing and Consumer Services. 32. 131–138. 21 indexed citations
13.
Tehrani, Ali Fallah & Diane Ahrens. (2016). Supervised Regression Clustering. RePEc: Research Papers in Economics. 3(4). 21–40. 4 indexed citations
14.
Tehrani, Ali Fallah, Marc Strickert, & Eyke Hüllermeier. (2014). The Choquet Kernel for Monotone Data. The European Symposium on Artificial Neural Networks. 1 indexed citations
15.
Tehrani, Ali Fallah. (2014). Learning nonlinear monotone classifiers using the Choquet Integral. 5 indexed citations
16.
Tehrani, Ali Fallah, et al.. (2014). Preference-based Learning of Ideal Solutions in TOPSIS-like Decision Models. Journal of Multi-Criteria Decision Analysis. 22(3-4). 175–183. 7 indexed citations
17.
Tehrani, Ali Fallah, et al.. (2013). Ordinal Choquistic Regression. Open access LMU (Ludwid Maxmilian's Universitat Munchen). 13 indexed citations
18.
Tehrani, Ali Fallah, Weiwei Cheng, & Eyke Hüllermeier. (2012). Preference Learning Using the Choquet Integral: The Case of Multipartite Ranking. IEEE Transactions on Fuzzy Systems. 20(6). 1102–1113. 62 indexed citations
19.
Tehrani, Ali Fallah, Weiwei Cheng, Krzysztof Dembczyński, & Eyke Hüllermeier. (2012). Learning monotone nonlinear models using the Choquet integral. Machine Learning. 89(1-2). 183–211. 74 indexed citations
20.
Tehrani, Ali Fallah, Weiwei Cheng, & Eyke Hüllermeier. (2011). Choquistic Regression: Generalizing Logistic Regression using the Choquet Integral. Open access LMU (Ludwid Maxmilian's Universitat Munchen). 14 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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