Karl R. Weiss

6.1k total citations · 1 hit paper
8 papers, 4.1k citations indexed

About

Karl R. Weiss is a scholar working on Artificial Intelligence, Civil and Structural Engineering and Information Systems. According to data from OpenAlex, Karl R. Weiss has authored 8 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 1 paper in Civil and Structural Engineering and 1 paper in Information Systems. Recurrent topics in Karl R. Weiss's work include Domain Adaptation and Few-Shot Learning (8 papers), Imbalanced Data Classification Techniques (3 papers) and Machine Learning and ELM (3 papers). Karl R. Weiss is often cited by papers focused on Domain Adaptation and Few-Shot Learning (8 papers), Imbalanced Data Classification Techniques (3 papers) and Machine Learning and ELM (3 papers). Karl R. Weiss collaborates with scholars based in United States. Karl R. Weiss's co-authors include Taghi M. Khoshgoftaar and Dingding Wang and has published in prestigious journals such as Journal Of Big Data.

In The Last Decade

Karl R. Weiss

8 papers receiving 3.9k citations

Hit Papers

A survey of transfer learning 2016 2026 2019 2022 2016 1000 2.0k 3.0k 4.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Karl R. Weiss United States 7 1.5k 793 411 353 343 8 4.1k
Keyu Duan China 2 1.5k 1.0× 795 1.0× 315 0.8× 434 1.2× 334 1.0× 5 4.0k
Dongbo Xi China 6 1.5k 1.0× 813 1.0× 314 0.8× 440 1.2× 334 1.0× 6 4.1k
Zhiyuan Qi China 7 1.5k 1.0× 802 1.0× 314 0.8× 433 1.2× 339 1.0× 16 4.1k
Ayad Q. Al-Dujaili Iraq 11 1.2k 0.8× 876 1.1× 621 1.5× 487 1.4× 346 1.0× 43 4.8k
Adnan Mohsin Abdulazeez Iraq 24 1.5k 1.0× 769 1.0× 495 1.2× 371 1.1× 170 0.5× 115 4.5k
Alaa Tharwat Egypt 26 1.7k 1.1× 890 1.1× 245 0.6× 494 1.4× 227 0.7× 44 4.8k
Muthana Al‐Amidie United States 7 1.2k 0.8× 892 1.1× 701 1.7× 458 1.3× 279 0.8× 12 4.8k
Lianyang Ma China 5 1.2k 0.8× 1.5k 1.8× 361 0.9× 457 1.3× 292 0.9× 11 4.6k
Laith Farhan United Kingdom 12 1.4k 0.9× 991 1.2× 720 1.8× 597 1.7× 309 0.9× 20 5.3k
Dingding Wang United States 27 2.6k 1.7× 1.0k 1.3× 418 1.0× 386 1.1× 346 1.0× 68 6.1k

Countries citing papers authored by Karl R. Weiss

Since Specialization
Citations

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

Fields of papers citing papers by Karl R. Weiss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Karl R. Weiss. 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 Karl R. Weiss. The network helps show where Karl R. Weiss may publish in the future.

Co-authorship network of co-authors of Karl R. Weiss

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

All Works

8 of 8 papers shown
1.
Weiss, Karl R. & Taghi M. Khoshgoftaar. (2017). Evaluation of Transfer Learning Algorithms Using Different Base Learners. 187–196. 5 indexed citations
2.
Weiss, Karl R. & Taghi M. Khoshgoftaar. (2017). Comparing Transfer Learning and Traditional Learning Under Domain Class Imbalance. 337–343. 10 indexed citations
3.
Weiss, Karl R. & Taghi M. Khoshgoftaar. (2017). Analysis of Transfer Learning Performance Measures. 338–345. 6 indexed citations
4.
Weiss, Karl R. & Taghi M. Khoshgoftaar. (2017). Detection of Phishing Webpages Using Heterogeneous Transfer Learning. 190–197. 6 indexed citations
5.
Weiss, Karl R., Taghi M. Khoshgoftaar, & Dingding Wang. (2016). A survey of transfer learning. Journal Of Big Data. 3(1). 4028 indexed citations breakdown →
6.
Weiss, Karl R. & Taghi M. Khoshgoftaar. (2016). An Investigation of Transfer Learning and Traditional Machine Learning Algorithms. 283–290. 20 indexed citations
7.
Weiss, Karl R. & Taghi M. Khoshgoftaar. (2016). Investigating Transfer Learners for Robustness to Domain Class Imbalance. 207–213. 9 indexed citations
8.
Weiss, Karl R., et al.. (2016). Designing a Testing Framework for Transfer Learning Algorithms (Application Paper). 152–159. 6 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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