Terran Lane

3.4k total citations
59 papers, 2.1k citations indexed

About

Terran Lane is a scholar working on Artificial Intelligence, Computer Networks and Communications and Molecular Biology. According to data from OpenAlex, Terran Lane has authored 59 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Artificial Intelligence, 20 papers in Computer Networks and Communications and 19 papers in Molecular Biology. Recurrent topics in Terran Lane's work include Network Security and Intrusion Detection (14 papers), Anomaly Detection Techniques and Applications (13 papers) and Bayesian Modeling and Causal Inference (7 papers). Terran Lane is often cited by papers focused on Network Security and Intrusion Detection (14 papers), Anomaly Detection Techniques and Applications (13 papers) and Bayesian Modeling and Causal Inference (7 papers). Terran Lane collaborates with scholars based in United States, Germany and Norway. Terran Lane's co-authors include Carla E. Brodley, Blake Anderson, Curtis B. Storlie, Shibin Qiu, Vince D. Calhoun, Vincent P. Clark, Daniel Quist, Joshua Neil, Shuchi Chawla and Avrim Blum and has published in prestigious journals such as Bioinformatics, PLoS ONE and NeuroImage.

In The Last Decade

Terran Lane

57 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Terran Lane United States 22 906 880 698 329 326 59 2.1k
Jun Long China 25 688 0.8× 889 1.0× 125 0.2× 158 0.5× 371 1.1× 178 2.5k
S. Ramakrishnan United States 22 208 0.2× 541 0.6× 338 0.5× 226 0.7× 105 0.3× 199 2.0k
Jianer Chen United States 33 1.7k 1.9× 592 0.7× 123 0.2× 123 0.4× 268 0.8× 299 4.3k
David Powers Australia 26 254 0.3× 849 1.0× 307 0.4× 479 1.5× 179 0.5× 167 2.4k
Dongjin Song United States 20 425 0.5× 1.6k 1.8× 396 0.6× 68 0.2× 409 1.3× 67 2.6k
Zhongmin Wang China 25 620 0.7× 424 0.5× 142 0.2× 462 1.4× 123 0.4× 132 2.6k
Anis Yazidi Norway 23 429 0.5× 629 0.7× 178 0.3× 357 1.1× 198 0.6× 197 2.2k
Jin Cao United States 23 933 1.0× 473 0.5× 158 0.2× 196 0.6× 112 0.3× 83 2.0k
Khaled Elleithy United States 31 722 0.8× 513 0.6× 307 0.4× 449 1.4× 282 0.9× 244 3.0k

Countries citing papers authored by Terran Lane

Since Specialization
Citations

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

Fields of papers citing papers by Terran Lane

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Terran Lane

This figure shows the co-authorship network connecting the top 25 collaborators of Terran Lane. A scholar is included among the top collaborators of Terran Lane 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 Terran Lane. Terran Lane 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.
Plis, Sergey, Jing Sui, Terran Lane, et al.. (2013). High-order interactions observed in multi-task intrinsic networks are dominant indicators of aberrant brain function in schizophrenia. NeuroImage. 102. 35–48. 28 indexed citations
2.
Plis, Sergey, Michael P. Weisend, Eswar Damaraju, et al.. (2011). Effective connectivity analysis of fMRI and MEG data collected under identical paradigms. Computers in Biology and Medicine. 41(12). 1156–1165. 30 indexed citations
3.
Clark, Vincent P., Brian A. Coffman, Andy Mayer, et al.. (2010). TDCS guided using fMRI significantly accelerates learning to identify concealed objects. NeuroImage. 59(1). 117–128. 181 indexed citations
4.
Plis, Sergey, et al.. (2010). Correlated Noise: How it Breaks NMF, and What to Do About it. Journal of Signal Processing Systems. 65(3). 351–359. 2 indexed citations
5.
Roy, Sushmita, et al.. (2009). Exploiting Amino Acid Composition for Predicting Protein-Protein Interactions. PLoS ONE. 4(11). e7813–e7813. 62 indexed citations
6.
Qiu, Shibin & Terran Lane. (2009). A Framework for Multiple Kernel Support Vector Regression and Its Applications to siRNA Efficacy Prediction. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 6(2). 190–199. 83 indexed citations
7.
Lane, Terran, et al.. (2008). Bayesian Network Score Approximation using a Metagraph Kernel. Neural Information Processing Systems. 21. 1833–1840. 2 indexed citations
8.
Roy, Sushmita, Terran Lane, & Margaret Werner‐Washburne. (2008). Integrative construction and analysis of condition-specific biological networks. National Conference on Artificial Intelligence. 1867–1868. 7 indexed citations
9.
Burge, John, et al.. (2008). Hybrid ICA–Bayesian network approach reveals distinct effective connectivity differences in schizophrenia. NeuroImage. 42(4). 1560–1568. 46 indexed citations
10.
Qiu, Shibin, Terran Lane, & Ljubomir Buturović. (2007). A randomized string kernel and its application to RNA interference. National Conference on Artificial Intelligence. 627–632. 2 indexed citations
11.
Blum, Avrim, et al.. (2007). Approximation Algorithms for Orienteering and Discounted-Reward TSP. SIAM Journal on Computing. 37(2). 653–670. 111 indexed citations
12.
Qiu, Shibin & Terran Lane. (2006). RNA string kernels for RNAi off-target evaluation. International Journal of Bioinformatics Research and Applications. 2(2). 132–132. 6 indexed citations
13.
Lane, Terran & Andrew T. Wilson. (2005). Toward a Topological Theory of Relational Reinforcement Learning for Navigation Tasks.. European Heart Journal - Cardiovascular Imaging. 25(5). 461–467. 8 indexed citations
14.
Lane, Terran & Leslie Pack Kaelbling. (2002). Nearly deterministic abstractions of Markov decision processes. National Conference on Artificial Intelligence. 260–266. 16 indexed citations
15.
Lane, Terran & Leslie Pack Kaelbling. (2002). <title>Approaches to macro decompositions of large Markov decision process planning problems</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4573. 104–113. 3 indexed citations
16.
Lane, Terran & Carla E. Brodley. (2000). Data Reduction Techniques for Instance-Based Learning from Human/Computer Interface Data. International Conference on Machine Learning. 519–526. 4 indexed citations
17.
Lane, Terran & Carla E. Brodley. (1999). Temporal sequence learning and data reduction for anomaly detection. ACM Transactions on Information and System Security. 2(3). 295–331. 252 indexed citations
18.
Lane, Terran. (1999). An Application of Machine Learning to Anomaly Detection. 120 indexed citations
19.
Lane, Terran & Carla E. Brodley. (1998). Approaches to online learning and concept drift for user identification in computer security. Knowledge Discovery and Data Mining. 259–263. 78 indexed citations
20.
Lane, Terran. (1998). Filtering Techniques for Rapid User Classification. 70(12). 887–93. 4 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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