Ferda Nur Alpaslan

883 total citations
42 papers, 519 citations indexed

About

Ferda Nur Alpaslan is a scholar working on Artificial Intelligence, Information Systems and Communication. According to data from OpenAlex, Ferda Nur Alpaslan has authored 42 papers receiving a total of 519 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 16 papers in Information Systems and 12 papers in Communication. Recurrent topics in Ferda Nur Alpaslan's work include Knowledge Management and Sharing (11 papers), Innovative Teaching and Learning Methods (10 papers) and Software Engineering Techniques and Practices (9 papers). Ferda Nur Alpaslan is often cited by papers focused on Knowledge Management and Sharing (11 papers), Innovative Teaching and Learning Methods (10 papers) and Software Engineering Techniques and Practices (9 papers). Ferda Nur Alpaslan collaborates with scholars based in Türkiye, United States and Panama. Ferda Nur Alpaslan's co-authors include Ilyas Cicekli, Makbule Gülçin Özsoy, Kathleen Swigger, Robert Brazile, Víctor López, Nihan Kesim Çiçekli, George Dafoulas, Michael Monticino, Kamil Adiloğlu and Lakhmi C. Jain and has published in prestigious journals such as Computers in Human Behavior, Sensors and Neurocomputing.

In The Last Decade

Ferda Nur Alpaslan

40 papers receiving 475 citations

Peers

Ferda Nur Alpaslan

COMMU

DEP

CVPR

George Chin United States

Andreas Schmidt Germany

Alan Wexelblat United States

Anjo Anjewierden Netherlands

Fattaneh Taghiyareh Iran

Jānis Grundspeņķis Latvia

Patrik Floréen Finland

Sherman R. Alpert United States

Hannu Jaakkola Finland

Ray Bareiss United States

George Chin United States

Ferda Nur Alpaslan

144 ×0.5

145 ×0.9

36 ×0.6

COMMU

32 ×0.6

DEP

149 ×2.9

CVPR

Citations per year, relative to Ferda Nur Alpaslan Ferda Nur Alpaslan (= 1×) peers George Chin

Countries citing papers authored by Ferda Nur Alpaslan

Since Specialization

Citations

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

Fields of papers citing papers by Ferda Nur Alpaslan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ferda Nur Alpaslan. 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 Ferda Nur Alpaslan. The network helps show where Ferda Nur Alpaslan may publish in the future.

Co-authorship network of co-authors of Ferda Nur Alpaslan

This figure shows the co-authorship network connecting the top 25 collaborators of Ferda Nur Alpaslan. A scholar is included among the top collaborators of Ferda Nur Alpaslan 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 Ferda Nur Alpaslan. Ferda Nur Alpaslan 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

Alpaslan, Ferda Nur, et al.. (2025). Risk Management Based on Machine Learning. OpenMETU (Middle East Technical University). 4.

Tolun, Mehmet R., et al.. (2025). Damage detection in aircraft engine borescope inspection using deep learning. Neural Computing and Applications. 37(24). 20105–20126.

Alpaslan, Ferda Nur, et al.. (2023). The reusability prior: comparing deep learning models without training. Machine Learning Science and Technology. 4(2). 25011–25011. 1 indexed citations

Büyükbingöl, Erdem, et al.. (2019). Three-Dimensional Analysis of Binding Sites for Predicting Binding Affinities in Drug Design. Journal of Chemical Information and Modeling. 59(11). 4654–4662. 4 indexed citations

Alpaslan, Ferda Nur, et al.. (2017). MRI image enhancement using Biot--Savart law at 3 tesla. TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES. 25. 3381–3396. 4 indexed citations

Alpaslan, Ferda Nur, et al.. (2015). Compressed images for affinity prediction-2 (CIFAP-2): an improved machine learning methodology on protein–ligand interactions based on a study on caspase 3 inhibitors. Journal of Enzyme Inhibition and Medicinal Chemistry. 30(5). 809–815. 3 indexed citations

Swigger, Kathleen, et al.. (2011). Exploring the communication behaviour among global software development learners. International Journal of Computer Applications in Technology. 40(3). 203–203. 9 indexed citations

Alpaslan, Ferda Nur, et al.. (2011). Hierarchical behavior categorization using correlation based adaptive resonance theory. Neurocomputing. 77(1). 71–81. 6 indexed citations

Özsoy, Makbule Gülçin, Ferda Nur Alpaslan, & Ilyas Cicekli. (2011). Text summarization using Latent Semantic Analysis. Journal of Information Science. 37(4). 405–417. 114 indexed citations

10.

Özsoy, Makbule Gülçin, Ilyas Cicekli, & Ferda Nur Alpaslan. (2010). Text Summarization of Turkish Texts using Latent Semantic Analysis. Bilkent University Institutional Repository (Bilkent University). 2. 869–876. 37 indexed citations

11.

Swigger, Kathleen, et al.. (2010). Using Content and Text Classification Methods to Characterize Team Performance. Middlesex University Research Repository (Middlesex University Of London). 10. 192–200. 5 indexed citations

12.

Swigger, Kathleen, et al.. (2010). The effects of task type on the patterns of communication behaviors among global software student teams. Middlesex University Research Repository (Middlesex University Of London). 1 indexed citations

13.

Çiçekli, Nihan Kesim, et al.. (2010). Event boundary detection using audio-visual features and web-casting texts with imprecise time information. 2. 578–583. 4 indexed citations

14.

Alpaslan, Ferda Nur, et al.. (2009). Behavior categorization using Correlation Based Adaptive Resonance Theory. OpenMETU (Middle East Technical University). 724–729. 2 indexed citations

15.

Büyükbingöl, Erdem, et al.. (2009). Modeling and predicting binding affinity of phencyclidine‐like compounds using machine learning methods. Journal of Chemometrics. 24(1). 1–13. 9 indexed citations

16.

Swigger, Kathleen, et al.. (2009). A Comparison of Team Performance Measures for Global Software Development Student Teams. Middlesex University Research Repository (Middlesex University Of London). 267–274. 11 indexed citations

17.

Çiçekli, Nihan Kesim, et al.. (2008). Ontological video annotation and querying system for soccer games. OpenMETU (Middle East Technical University). 1–6. 4 indexed citations

18.

Adiloğlu, Kamil & Ferda Nur Alpaslan. (2006). A machine learning approach to two-voice counterpoint composition. Knowledge-Based Systems. 20(3). 300–309. 12 indexed citations

19.

Alpaslan, Ferda Nur, et al.. (2004). ANFISunfoldedintime for multivariate time series forecasting. Neurocomputing. 61. 139–168. 16 indexed citations

20.

Swigger, Kathleen, Ferda Nur Alpaslan, Robert Brazile, & Michael Monticino. (2003). Effects of culture on computer-supported international collaborations. International Journal of Human-Computer Studies. 60(3). 365–380. 29 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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