Tomás Lang

1.7k citations
70 papers · 1.1k · h-index 16

Impact in

Papers in

Tomás Lang

69 papers receiving 1.0k citations

Peers

Tomás Lang
Comparison fields: 5 of 52
  • Hardware and Architecture 574
  • Computational Theory and Mathematics 506
  • Signal Processing 294
  • Computer Networks and Communications 446
  • Electrical and Electronic Engineering 550
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Citations per year

Countries citing papers authored by Tomás Lang

Since Specialization
Citations

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

Fields of papers citing papers by Tomás Lang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Tomás Lang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tomás Lang Line = papers co-authored together Tomás Lang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Division and Square Root: Digit-Recurrence Algorithms and Implementations
1994242
2 199784
3 197684
4 199768
5 200667
6 200742
7 199241
8 199639
9
Digital systems and hardware/firmware algorithms
198533
10 199032
11 197729
12 198826
13 199425
14 199818
15 198916
16 198216
17 200015
18 197513
19 199213
20 201113

About Tomás Lang

Tomás Lang is a scholar working on Computer Networks and Communications, Hardware and Architecture, Computational Theory and Mathematics, Electrical and Electronic Engineering and Signal Processing, having authored 70 papers that have together received 1.1k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (33 papers), Numerical Methods and Algorithms (24 papers), Interconnection Networks and Systems (23 papers), Embedded Systems Design Techniques (13 papers), Low-power high-performance VLSI design (12 papers), Digital Filter Design and Implementation (10 papers), Advanced Data Storage Technologies (6 papers) and Distributed and Parallel Computing Systems (5 papers). The work is most often cited by research in Hardware and Architecture (574 citations), Computational Theory and Mathematics (506 citations), Signal Processing (294 citations), Computer Networks and Communications (446 citations) and Electrical and Electronic Engineering (550 citations). Tomás Lang has collaborated with scholars based in United States, Spain and Denmark. Frequent co-authors include Alberto Nannarelli, Juan J. Navarro, Toni Juan, Harold S. Stone, M.D. Ercegovac, Mateo Valero, Enric Musoll, Jordi Cortadella, Eduardo B. Fernández and Eduard Ayguadé. Their work appears in journals such as Journal of Parallel and Distributed Computing, IEEE Transactions on Computers, ACM Transactions on Database Systems, ACM Transactions on Computer Systems and ACM SIGIR Forum.

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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