Willis Lang

914 total citations
23 papers, 603 citations indexed

About

Willis Lang is a scholar working on Computer Networks and Communications, Information Systems and Signal Processing. According to data from OpenAlex, Willis Lang has authored 23 papers receiving a total of 603 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Networks and Communications, 19 papers in Information Systems and 5 papers in Signal Processing. Recurrent topics in Willis Lang's work include Cloud Computing and Resource Management (17 papers), Advanced Database Systems and Queries (11 papers) and Distributed systems and fault tolerance (4 papers). Willis Lang is often cited by papers focused on Cloud Computing and Resource Management (17 papers), Advanced Database Systems and Queries (11 papers) and Distributed systems and fault tolerance (4 papers). Willis Lang collaborates with scholars based in United States, Finland and United Kingdom. Willis Lang's co-authors include Jignesh M. Patel, Srinath Shankar, Jeffrey F. Naughton, David J. DeWitt, Dimitris Tsirogiannis, Rimma V. Nehme, Michael D. Morse, Stavros Harizopoulos, Mehul A. Shah and Qun Guo and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, Proceedings of the VLDB Endowment and ACM SIGMOD Record.

In The Last Decade

Willis Lang

23 papers receiving 558 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Willis Lang United States	13	538	495	113	78	70	23	603
Dimitris Tsirogiannis United States	9	394 0.7×	227 0.5×	88 0.8×	100 1.3×	138 2.0×	9	461
Edward Bortnikov Israel	12	395 0.7×	205 0.4×	80 0.7×	90 1.2×	51 0.7×	37	464
Tobias Mühlbauer Germany	10	454 0.8×	236 0.5×	126 1.1×	69 0.9×	86 1.2×	16	491
Karan Gupta United States	11	619 1.2×	445 0.9×	166 1.5×	64 0.8×	21 0.3×	30	700
Steffen Zeuch Germany	11	309 0.6×	172 0.3×	81 0.7×	115 1.5×	80 1.1×	34	393
Vasily Tarasov United States	17	765 1.4×	528 1.1×	201 1.8×	119 1.5×	28 0.4×	40	836
Adam Storm United States	8	319 0.6×	188 0.4×	60 0.5×	83 1.1×	100 1.4×	11	368
Ricardo Koller United States	13	672 1.2×	483 1.0×	184 1.6×	117 1.5×	39 0.6×	27	734
Zuoning Chen China	10	277 0.5×	349 0.7×	46 0.4×	163 2.1×	183 2.6×	45	586
Venkateshwaran Venkataramani United States	6	757 1.4×	529 1.1×	148 1.3×	67 0.9×	38 0.5×	7	797

Countries citing papers authored by Willis Lang

Since Specialization

Citations

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

Fields of papers citing papers by Willis Lang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Willis Lang

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Lang, Willis, et al.. (2023). Proactive Resource Allocation Policy for Microsoft Azure Cognitive Search. ACM SIGMOD Record. 52(3). 41–48. 2 indexed citations

2.

Guo, Qun, et al.. (2022). Moneyball. Proceedings of the VLDB Endowment. 15(6). 1279–1287. 23 indexed citations

3.

König, Arnd Christian, et al.. (2022). Tenant placement in over-subscribed database-as-a-service clusters. Proceedings of the VLDB Endowment. 15(11). 2559–2571. 2 indexed citations

4.

Lin, Katherine, et al.. (2021). Toto Benchmarking the Efficiency of a Cloud Service. 2543–2556. 3 indexed citations

5.

Lang, Willis, et al.. (2018). Survivability of Cloud Databases - Factors and Prediction. 811–823. 5 indexed citations

6.

Koutris, Paraschos, et al.. (2017). m-tables: Representing Missing Data. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 6 indexed citations

7.

Taft, Rebecca, Willis Lang, Jennie Duggan, et al.. (2016). STeP. 388–400. 16 indexed citations

8.

Lang, Willis, et al.. (2016). Not for the timid. Proceedings of the VLDB Endowment. 9(13). 1245–1256. 9 indexed citations

9.

Lang, Willis, et al.. (2015). Microsoft azure SQL database telemetry. 189–194. 14 indexed citations

10.

Lang, Willis, et al.. (2014). Partial results in database systems. 1275–1286. 24 indexed citations

11.

Lang, Willis, et al.. (2013). Towards Multi-Tenant Performance SLOs. IEEE Transactions on Knowledge and Data Engineering. 26(6). 1447–1463. 18 indexed citations

12.

Lang, Willis, Stavros Harizopoulos, Jignesh M. Patel, Mehul A. Shah, & Dimitris Tsirogiannis. (2012). Towards energy-efficient database cluster design. Proceedings of the VLDB Endowment. 5(11). 1684–1695. 36 indexed citations

13.

Lang, Willis, et al.. (2011). Rethinking Query Processing for Energy Efficiency: Slowing Down to Win the Race.. IEEE Data(base) Engineering Bulletin. 34. 12–23. 43 indexed citations

14.

Lang, Willis, Jignesh M. Patel, & Srinath Shankar. (2010). Wimpy node clusters. 47–55. 63 indexed citations

15.

Lang, Willis & Jignesh M. Patel. (2010). Energy management for MapReduce clusters. Proceedings of the VLDB Endowment. 3(1-2). 129–139. 163 indexed citations

16.

Lang, Willis, Jignesh M. Patel, & Jeffrey F. Naughton. (2010). On energy management, load balancing and replication. ACM SIGMOD Record. 38(4). 35–42. 54 indexed citations

17.

Lang, Willis & Jignesh M. Patel. (2009). Towards Eco-friendly Database Management Systems.. Conference on Innovative Data Systems Research. 27 indexed citations

18.

Lang, Willis, Michael D. Morse, & Jignesh M. Patel. (2009). Dictionary-Based Compression for Long Time-Series Similarity. IEEE Transactions on Knowledge and Data Engineering. 22(11). 1609–1622. 21 indexed citations

19.

Iwen, Mark, Willis Lang, & Jignesh M. Patel. (2008). Scalable Rule-Based Gene Expression Data Classification. 1062–1071. 6 indexed citations

20.

Tata, Sandeep, Willis Lang, & Jignesh M. Patel. (2007). Periscope/SQ: interactive exploration of biological sequence databases. Very Large Data Bases. 1406–1409. 2 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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